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• Examining career orientations at the University of Debrecen

  59-67

  Éva Gergely

  Views:

  311

  The paper endeavours to give a narrower definition of the orientation of ‘career’. The survey to be discussed examines a sample of 116 full time students of economics and has career anchor analysis as its focus. The study details the result of a questionnaire-based survey, which was carried out with respect to the carrier of university students and was supplemented by surveying motivation, value and work value as well. The analysis finds that “security, stability and organisational identification” are judged to be the primary career anchors among the members of the majority sample. This means that the respondents feel ready to identify themselves with the company and are looking for security to be provided by long term employment, regular earnings and by steady career advancement. The cluster analysis of the questionnaire differentiates four groups: Leaders, Specialists, Entrepreneurs and Employees. The results showed that the Leaders have high capacities of leadership, creativity and autonomy. The Specialists show highly developed functional capabilities in general and they seem to like challenges. The Entrepreneurs have outstandingly high scores concerning autonomy and entrepreneurial creativity. The members of the cluster of the Employees are characterised by a high expectation of security and stability and by low levels of managerial capability and entrepreneurial creativity. Discriminant analysis was applied to select the distinguishing features that can set the clusters apart from each other. The motivations, values preferences and work values inventory will consolidate the differences between the clusters of the career anchors. Using the method in high education within special trainings could be the practical utilization of the study. On the basis of the results a questionnaire can be compiled, which could help uncertain students relating to their carriers and future orientation containing information in connection with their carrier orientation, motivation, value preferences and work value.

  JEL code: I21

• What differentiates the entrepreneurs from non-entrepreneurs on nature and nurture?

  45-52

  Syed Zaheer Abbas Kazmi

  Samiuddin Khan

  András Nábrádi

  Views:

  836

  Based on the importance and contribution of entrepreneurship in economic development, it is vital to know that what underlying factors may promote the spirit of entrepreneurship? The entrepreneurship literature suggests two kinds of broader influencers or predictors for entrepreneurs and non-entrepreneurs “nature” and “nurture”. In this study “nature” includes the psychological or personality related factors; self-confidence, locus of control, risk-taking propensity and trust levels. The “nurture” is explained by the effects from society in general and friends and family in particular. To answer the question “What differentiates the entrepreneurs from non-entrepreneurs on nature and nurture?” we collected data through questionnaire from 155 respondents. The 70 respondents were entrepreneurs and 85 were non-entrepreneurs. Step-wise discriminant analysis was used to determine the discriminating factors for entrepreneurs from non-entrepreneurs. Results indicate that societal impacts, risk taking propensity and trust levels were significantly discriminating the two groups; entrepreneurs and non-entrepreneurs. The study has important implications for policy makers, academicians, researchers and potential entrepreneurs.

  JEL Code: L26, M13

• DIVESTITURE POST MERGERS AND ACQUISITIONS IN INDIA – REASONS AND MODEL TO PREDICT

  Aditya Pratap Singh

  Archana Singh

  Girish Chandra Maheshwari

  Views:

  225

  Divestitures post-acquisition are a common occurrence yet the jury is still out on whether they represent correction of prior mistakes or are a restructuring tool to improve performance in the hands of managers evaluating overall portfolio of assets. We take a sample of 1,344 deals buy Indian public listed buyers from 2000 to 2020 of which 13% were followed by a divestiture to create models to predict if an acquisition is likely to be followed by a divestiture or not using logistic regression and discriminant analysis. Our model is more than 75% accurate in its prediction even when tested on unselected data (new data for the model). We find support for portfolio theory and reject the correction of prior mistakes theory to explain post-acquisition divestitures. We support the theory that financial constraints leads to post acquisition divestiture. We also support the theory on indigestion that post acquisition divestitures are due to cookie-jar problem where buyers are finding it difficult to integrate. Increased volatility and poor mean stock price returns both contribute to conditions leading to such divestitures. The model constructed is useful for shareholders and other stakeholders to predict whether a divestiture will follow an acquisition or not. Managers can also use the model to predict eventual outcome of their acquisition decisions.